BEHAVIOR IN SPORTS ACTIVITY AMIDST PANDEMIC OF STUDENT-ATHLETES OF LYCEUM OF THE PHILIPPINES UNIVERSITY, CAVITE
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SJIF Impact Factor 2021: 8.013| ISI I.F.Value:1.241| Journal DOI: 10.36713/epra2016 ISSN: 2455-7838(Online) EPRA International Journal of Research and Development (IJRD) Volume: 6 | Issue: 7 | July 2021 - Peer Reviewed Journal BEHAVIOR IN SPORTS ACTIVITY AMIDST PANDEMIC OF STUDENT-ATHLETES OF LYCEUM OF THE PHILIPPINES UNIVERSITY, CAVITE Renato S. Tanglao Jr. Graduate School, Laguna State Polytechnic University, Santa Cruz, Laguna, Philippines Article DOI: https://doi.org/10.36713/epra7461 DOI No: 10.36713/epra7461 ABSTRACT This study determined the behavior in sports activity of student-athletes of Lyceum of the Philippines University, Cavite. Specifically, the study sought answers to the following questions: What is the status of profile of student- athletes of the Lyceum of the Philippines University, Cavite in terms of; age; sex; gender; sports event? What is the level of behavior of students-athlete in terms of: physical activity; emotional Behavior; social activity; psychological? What is the level of sports activity in terms of: training; coaching; tune up games; competition? Is the demographic profile of the student athletes has a significant effect in the sports activity? Is the behavior of the student has a significant effect in the sports activity? In order to conduct this study, letters was sent to Ms. Kimberly Joy E. Alcaraz OIC Head, Research and Publications Office and the University Headmaster, Mr. Mhar Angelo A. Bayot asking permission and approval to conduct the study. Permission from the OIC Head, Research and Publications Office and university headmaster for each department. Preparation of self-made questionnaire by the researcher followed in order to obtain the necessary data on the behavior in sports activity amidst pandemic of student-athletes of Lyceum of the Philippines University, Cavite. The respondents of the study included approximately fifty (50) student-athletes of different event enrolled in the Lyceum of the Philippines University, Cavite. The copies were multiples and others sent by the google form considering the health protocols. The main source of data which prepared by the researcher were statistically use a simple descriptive statistic such as T-test formula and the weighted mean to determine the mean level to know the behavior in sports activity amidst pandemic of student-athletes of Lyceum of the Philippines, Cavite. readiness of the student-athletes to the new normal sports competition participated by the Cavite. I. INTRODUCTION As most sports seasons, practices and camps have been canceled in all area due to the coronavirus pandemic, many athletes, including high school and college seniors, may be experiencing a sense of loss and resentment. Psychological science faces a call to action researching the implications of the corona virus disease 2019 (COVID-19) pandemic. Rapid reviews have reported that maintaining rigorous research standards is a priority for the field, such as ensuring reliable and valid measurement, when investigating peoples experience of COVID-19, O’Connor et al., (2020). This pandemic has caused many events in our environment around the world. And one of the most severely affected are athletes who experience different emotions caused by stopping regular training and competition. All ages for different reasons, high school kids are impacted in a multitude of ways; they are undergoing hormonal changes and use sports as a way to help reduce stress and control anxiety and depression. Also, sports are a way to earn college scholarships so there can be increased pressure. 2021 EPRA IJRD | Journal DOI: https://doi.org/10.36713/epra2016 | www.eprajournals.com |254 |
SJIF Impact Factor 2021: 8.013| ISI I.F.Value:1.241| Journal DOI: 10.36713/epra2016 ISSN: 2455-7838(Online) EPRA International Journal of Research and Development (IJRD) Volume: 6 | Issue: 7 | July 2021 - Peer Reviewed Journal Much of this work highlights a link between the athlete environment and experiences of depression and anxiety. For example, serious injury causing early retirement and loss of identity, organizational-level pressures and occupational demands, public scrutiny of performance and person, have all been linked with mental health disorders (Foskett and Longstaff, 2018). For younger children, sports are often a way to socialize and build upon those skills. When school and other social interactions have been taken away, not having sports can cause a child to feel isolated. Definitely see sports changing, but how they change is hard to predict. We can look at other countries and see how they are beginning to roll sports back out. Most likely games will be played without fans on a professional level to start. Then when fans do return, they will most likely require wearing a mask and other social distancing measures. Players on the bench will most likely be six feet apart as well. Sports may opt not to do any handshakes or high fives as well. That is, measurement assumptions are critical for the field moving forward ensuring confidence in findings which may inform policy, and training. Through this, the aim of this research was to analyze the behavior in sports activity amidst pandemic of student-athletes of Lyceum of the Philippines University, Cavite. II. OBJECTIVES This study determined the behavior in sports activity amidst pandemic of student-athletes of Lyceum of the Philippines University, Cavite. Specifically, the study sought answers to the following questions: 1. What is the STATUS OF PROFILE of student-athletes of the Lyceum of the Philippines University, Cavite IN terms of; 1.1 Age; 1.2 Sex; 1.3 Gender; 1.4 Sports Event? 2. What is the level of behavior of students-athlete in terms of: 2.1 Physical activity; 2.2 Emotional Behavior; 2.3 Social Activity ; 2.4Psychological? 3. What is the level of sports activity in terms of : 3.1 Training; 3.2 Coaching; 3.3 Tune up games; 3.4 Competition? 4. Is the demographic profile of the student athletes has a significant effect in the sports activity? 5. Is the behavior of the student has a significant effect in the sports activity? III. METHODOLOGY The researcher consulted her statistician on the sampling techniques. Purposive sampling, also known as judgmental, selective, or subjective sampling, is a form of non-probability sampling in which researcher rely on their own judgment when choosing members of the population to participate in their study. This sampling method requires researchers to have prior knowledge about the purpose of their studies so that they can properly choose and approach eligible participants. Researchers use purposive sampling when they want to access a particular subset of people, as all participants of a study are selected because they fit a particular profile. Each individual was chosen entirely by chance and each member of the population has an equal chance of being included in the sample. The respondents of the study included approximately fifty (50) student-athletes of different event enrolled in the Lyceum of the Philippines University, Cavite 2021 EPRA IJRD | Journal DOI: https://doi.org/10.36713/epra2016 | www.eprajournals.com |255 |
SJIF Impact Factor 2021: 8.013| ISI I.F.Value:1.241| Journal DOI: 10.36713/epra2016 ISSN: 2455-7838(Online) EPRA International Journal of Research and Development (IJRD) Volume: 6 | Issue: 7 | July 2021 - Peer Reviewed Journal In order to conduct this study, letters was sent to the University Headmaster, Mr. Mhar Angelo A. Bayot asking permission and approval to conduct the study. Permission from the university headmaster for each department. Preparation of self-made questionnaire by the researcher followed in order to obtain the necessary data on the behavior in sports activity amidst pandemic of student-athletes of Lyceum of the Philippines University, Cavite. The researcher-made questionnaire was checked by the thesis adviser. Face validation of the contents of the questionnaire was done by the adviser of the researcher and other panel members in the researchers list. They are vital panel members of the research department. The copies of the questionnaire was multiplied based from the number of the respondents. Then it was administered. With confidentiality, the gathered information was transferred in a tally sheet. Subsequently, codes was assigned to each indicator. The encoded data was given to the researcher’s statistician for the descriptive analysis. The gathered data was interpreted and presented in textual and tabular forms and appropriate interpretation was made. The following statistical tools were used in order to analyze and interpret the gathered data: Descriptive statistics will be going to apply to properly derive information and frequency distributions of the gathered data. The respondents will be identified using the Slovin’s formula: n (sample size) = N (population) / 1 + N (population) x e2 (margin of error at 0.05 squared). The answers of the respondents on the evaluation about the conducting study behavior in sports activity amidst pandemic of student-athletes of Lyceum of the Philippines University, Cavite is going to be analyze using the following formulas and measurements: Weighted mean - used to find out the average responses of the respondents as measurement of the central tendency. T-Test Formula - The formula for the two-sample t-test (a.k.a. the Student's t-test) is shown below. In this formula, t is the t-value, x1 and x2 are the means of the two groups being compared, s2 is the pooled standard error of the two groups, and n1 and n2 are the number of observations in each of the groups. T-test is used to know if there is a behavior in sports activity amidst pandemic of student-athletes of Lyceum of the Philippines University, Cavite significant effect to the sports activity and behavior of the student-athletes of the Lyceum of the Philippines University, Cavite. IV. RESULT AND DISCUSSION This chapter deals with the presentation, analysis and interpretation of data gathered to answer the sub problem relative to the main problem of this study on behavior in sports activity of amidst pandemic of student- athletes. This part discusses the findings of the study based on the research questions. DEMOGRAPHIC PROFILE OF THE STUDENT-ATHELETES Figure 2 shows the status of the student-athletes of the Lyceum of the Philippines University, Cavite in terms of Age. 2021 EPRA IJRD | Journal DOI: https://doi.org/10.36713/epra2016 | www.eprajournals.com |256 |
SJIF Impact Factor 2021: 8.013| ISI I.F.Value:1.241| Journal DOI: 10.36713/epra2016 ISSN: 2455-7838(Online) EPRA International Journal of Research and Development (IJRD) Volume: 6 | Issue: 7 | July 2021 - Peer Reviewed Journal Graph shows that ages “17 to 20 years old” have the highest frequency of forty-one (41) or 82.00% of the total respondent. And have eight (8) or 16.00% of the respondent are “13 to 16 years old”. While the ages “21 years old and above” received the lowest frequency of one (1) or 2.00% of the total respondents Figure 3 below shows the status of the student athletes of the Lyceum of the Philippines University Cavite in terms of Sex. Graph shows that sex “Male” has the highest frequency of forty-three (43) or 86.00% of the total respondent. While the sex “Female” received the lowest frequency of seven (7) or 14.00% of the total respondents. Figure 4 Status of profile of the student-athletes of the Lyceum of the Philippines University, Cavite in terms of Gender. 2021 EPRA IJRD | Journal DOI: https://doi.org/10.36713/epra2016 | www.eprajournals.com |257 |
SJIF Impact Factor 2021: 8.013| ISI I.F.Value:1.241| Journal DOI: 10.36713/epra2016 ISSN: 2455-7838(Online) EPRA International Journal of Research and Development (IJRD) Volume: 6 | Issue: 7 | July 2021 - Peer Reviewed Journal Graph shows that gender “Masculine” has the highest frequency of forty-one (41) or 82.00% of the total respondent. And have six (6) or 12.00% of the respondent are “Feminine”. While the gender “Bisexual” received the lowest frequency of one (1) or 2.00% of the total respondents. Figure 5 Demographic profile of student-athlete of the Lyceum of the Philippines University, Cavite in terms of sports events. Graph shows that the event “Basketball” has the highest frequency of sixteen (16) or 32.00% of the total respondent. And have thirteen (13) or 26.00% of the respondent are in “Volleyball”. While the event “Badminton and Taekwondo” received the lowest frequency of three (3) or 6.00% of the total respondents Table 1. Level of the behavior of the student-athlete in terms of Physical activity Statements Mean SD Remarks 1. Go for a 30 mins walk at least three times a week. 4.58 0.54 Always 2. I do biking as part of exercise. 4.48 0.61 Always 3. I walk to grocery stores in an immediate time. 4.62 0.49 Always 4. I walk to school for an important matter. 4.56 0.50 Always 5. I do house works as an exercise 4.70 0.46 Always Overall Mean = 4.59 Standard Deviation = 0.525 Verbal Interpretation = Very High 2021 EPRA IJRD | Journal DOI: https://doi.org/10.36713/epra2016 | www.eprajournals.com |258 |
SJIF Impact Factor 2021: 8.013| ISI I.F.Value:1.241| Journal DOI: 10.36713/epra2016 ISSN: 2455-7838(Online) EPRA International Journal of Research and Development (IJRD) Volume: 6 | Issue: 7 | July 2021 - Peer Reviewed Journal Table 1 shows the result on level of the behavior of the student-athlete in terms of Physical activity. Based on the respondents’ perceptions, the level of the behavior of the student-athlete in terms of Physical activity was generally very high. They do house works as an exercise have (M=4.70, SD=0.46) and walk to grocery stores in an immediate time with (M=4.62, SD=0.49). They do bike as part of exercise with (M=4.48, SD=0.61); and this item got the lowest rating. All item indicators got a verbal interpretation of very high, as disclosed by the overall mean of 4.59 and supported with standard deviation value of 0.525. Table 2. Level of the behavior of the student-athlete in terms of Emotional behavior Statements Mean SD Remarks 1. I secure my future by means of pursuing their education Always 4.58 0.50 amidst pandemic. 2. I consider the advice of the LGU to stay at home in the Always 4.52 0.50 announcement of ECQ. 3. I monitor the health status of family members. 4.56 0.50 Always 4. I’Il find time to do the meditation for relaxation 4.52 0.50 Always 5. I talk to a trusted friend to express the feeling of being Always 4.56 0.50 hurt, happy and lonely. Overall Mean = 4.55 Standard Deviation = 0.499 Verbal Interpretation = Very High Table 2 shows the level of the student behavior in terms of behavior. Based on the respondents’ perceptions, the level of the behavior of the student-athlete in terms of Emotional behavior was generally very high. They secure future by means of pursuing their education amidst pandemic have (M=4.58, SD=0.50) and monitor the health status of family members and talk to a trusted friend to express the feeling of being hurt, happy and lonely with (M=4.56, SD=0.50). They consider the advice of the LGU to stay at home in the announcement of ECQ and find time to do the meditation for relaxation with (M=4.52, SD=0.50); and this item got the lowest rating. All item indicators got a verbal interpretation of very high, as disclosed by the overall mean of 4.55 and supported with standard deviation value of 0.499. Table 3. Level of the behavior of the student-athlete in terms of Social activity. Statements Mean SD Remarks 1.I meet friends for some small talk practicing the social Always 4.70 0.50 distancing. 2. I eat outside like picnics in observance of physical Always 4.66 0.50 distancing. 3. I play outside in my sports discipline with friends. 4.74 0.40 Always 4. I attend occasions with precautionary measures and Always 4.68 0.50 protocols observance. 5. I do the group work assigned by the teachers with Always 4.68 0.50 classmates. Overall Mean = 4.69 Standard Deviation = 0.463 Verbal Interpretation = Very High Table 3 shows the level of the behavior of the student-athlete in terms of social activity. Based on the respondents’ perceptions, the level of the behavior of the student-athlete in terms of Social activity was generally very high. They play outside in sports discipline with friends have (M=4.74, SD=0.40) and meet friends for some small talk practicing the social distancing with (M=4.70, SD=0.50). They eat outside like picnics in observance of physical distancing with (M=4.66, SD=0.50); and this item got the lowest rating. All item indicators got a verbal interpretation of very high, as disclosed by the overall mean of 4.69 and supported with standard deviation value of 0.463. 2021 EPRA IJRD | Journal DOI: https://doi.org/10.36713/epra2016 | www.eprajournals.com |259 |
SJIF Impact Factor 2021: 8.013| ISI I.F.Value:1.241| Journal DOI: 10.36713/epra2016 ISSN: 2455-7838(Online) EPRA International Journal of Research and Development (IJRD) Volume: 6 | Issue: 7 | July 2021 - Peer Reviewed Journal Table 4. Level of the behavior of the student-athlete in terms of Psychological aspect Statements Mean SD Remarks 1. I think the best way to relive the feeling of insecurity. 4.74 0.40 Always 2. I stay strong in times of trials. 4.72 0.50 Always 3. I find solution for the certain problems encountered. 4.74 0.40 Always 4. I fight the feeling of anxiety and depression by means of Always 4.78 0.40 doing things that could relax me. 5. I go to a place that I could appreciate the value of life. 4.76 0.43 Always Overall Mean = 4.75 Standard Deviation = 0.435 Verbal Interpretation = Very High Table 4 show the data of the level of the behavior of the student-athlete in terms of Psychological aspect. Based on the respondents’ perceptions, the level of the behavior of the student-athlete in terms of Psychological aspect was generally very high. They fight the feeling of anxiety and depression by means of doing things that could relax have (M=4.78, SD=0.40) and go to a place that I could appreciate the value of life with (M=4.76, SD=0.43). They stay strong in times of trials with (M=4.72, SD=0.50); and this item got the lowest rating. All item indicators got a verbal interpretation of very high, as disclosed by the overall mean of 4.75 and supported with standard deviation value of 0.435. Table 5. Level of sports activity in terms of Training Statements Mean SD Remarks 1. I check the body temperature with the use of thermometer Always 4.78 0.40 before the training. 2. I do the cardio exercise such as running/ jogging to Always 4.72 0.50 maintain the endurance. 3. I do the strengthening exercise, or resistance training, Always 4.78 0.40 such as push ups and using the dumbbells. 4. I use the agility test for the measurement and maintenance Always 4.70 0.50 of the workouts. 5. I do regular training in my specific sports discipline in Always 4.68 0.47 preparation for the new normal competition. Overall Mean = 4.73 Standard Deviation = 0.444 Verbal Interpretation = Very High Table 5 shows the result of the Level of sports activity in terms of Training. Based on the respondents’ perceptions, the level of sports activity in terms of Training was generally very high. They check the body temperature with the use of thermometer before the training and do the strengthening exercise, or resistance training, such as push ups and using the dumbbells have (M=4.78, SD=0.40) and do the cardio exercise such as running/ jogging to maintain the endurance with (M=4.72, SD=0.50). They do regular training in my specific sports discipline in preparation for the new normal competition with (M=4.68, SD=0.47); and this item got the lowest rating. All item indicators got a verbal interpretation of very high, as disclosed by the overall mean of 4.73 and supported with standard deviation value of 0.444. 2021 EPRA IJRD | Journal DOI: https://doi.org/10.36713/epra2016 | www.eprajournals.com |260 |
SJIF Impact Factor 2021: 8.013| ISI I.F.Value:1.241| Journal DOI: 10.36713/epra2016 ISSN: 2455-7838(Online) EPRA International Journal of Research and Development (IJRD) Volume: 6 | Issue: 7 | July 2021 - Peer Reviewed Journal Table 6. Level of sports activity in terms of Coaching Statements Mean SD Remarks 1. I am democratic to all teammates that gives the team Always freedom and accountability, with the coach stepping in 4.72 0.50 only when needed to keep the process going 2. I talk to each other and decide what to do and when and Always 4.72 0.50 how to do it. 3. I teach life skills in hopes towards developing positive Always 4.76 0.40 relationships with each other. 4. I know how to tap into the individual strength to get the Always 4.74 0.40 most out of them 5. I get the greatest amount of productivity from the team, Always 4.68 0.47 collectively and individually. Overall Mean = 4.72 Standard Deviation = 0.448 Verbal Interpretation = Very High Table 6 Level of sports activity in terms of Coaching. Based on the respondents’ perceptions, the level of sports activity in terms of Coaching was generally very high. They teach life skills in hopes towards developing positive relationships with each other have (M=4.76, SD=0.40) and know how to tap into the individual strength to get the most out of them with (M=4.78, SD=0.40). They get the greatest amount of productivity from the team, collectively and individually with (M=4.68, SD=0.47); and this item got the lowest rating. All item indicators got a verbal interpretation of very high, as disclosed by the overall mean of 4.72 and supported with standard deviation value of 0.448. Table 7. Level of sports activity in terms of Tune up games Statements Mean SD Remarks 1. I get familiarized with the surroundings and the Always 4.76 0.40 competition venue. 2. I set the mind and goals for clear and well performance Always 4.72 0.50 for the friendly game competition. 3. I build confidence and increase chance of positive Always 4.68 0.50 performance outcome. 4. I stay focused and optimistic. 4.72 0.50 Always 5. I prepare meal plan and follow religiously the coach Always 4.68 0.47 advise for the win. Overall Mean = 4.71 Standard Deviation = 0.454 Verbal Interpretation = Very High Table 7 shows the data of the level of sports activity in terms of Tune up games. Based on the respondents’ perceptions, the level of sports activity in terms of Tune up games was generally very high. They get familiarized with the surroundings and the competition venue have (M=4.76, SD=0.40) and set the mind and goals for clear and well performance for the friendly game competition and stay focused and optimistic with (M=4.72, SD=0.50). They build confidence and increase chance of positive performance outcome and prepare meal plan and follow religiously the coach advise for the win with (M=4.68, SD=0.50, 0.47); and this item got the lowest rating. All item indicators got a verbal interpretation of very high, as disclosed by the overall mean of 4.71 and supported with standard deviation value of 0.454. 2021 EPRA IJRD | Journal DOI: https://doi.org/10.36713/epra2016 | www.eprajournals.com |261 |
SJIF Impact Factor 2021: 8.013| ISI I.F.Value:1.241| Journal DOI: 10.36713/epra2016 ISSN: 2455-7838(Online) EPRA International Journal of Research and Development (IJRD) Volume: 6 | Issue: 7 | July 2021 - Peer Reviewed Journal Table 8. Level of sports activity in terms of Competition Statements Mean SD Remarks 1. I relax and pray before the competition. 4.76 0.40 Always 2. I visualize winning the game. 4.74 0.40 Always 3. I get enough sleep to boost energy and stay healthy. 4.72 0.50 Always 4. I know the rules, give my best and apply what I trained. 4.80 0.40 Always 5. I instill sportsmanship, and do the right thing before, Always 4.82 0.39 during and after the game. Overall Mean = 4.77 Standard Deviation = 0.423 Verbal Interpretation = Very High Table 8 shows the data results of the level of sports activity in terms of Competition. Based on the respondents’ perceptions, the level of sports activity in terms of Competition was generally very high. They instill sportsmanship, and do the right thing before, during and after the game have (M=4.82, SD=0.39) and know the rules, give the best and apply what they trained with (M=4.80, SD=0.40). They get enough sleep to boost energy and stay healthy with (M=4.72, SD=0.50); and this item got the lowest rating. All item indicators got a verbal interpretation of very high, as disclosed by the overall mean of 4.77 and supported with standard deviation value of 0.423. Table 9. Significant effect of the demographic profile of the student-athlete to the sports activity Age Beta t-value p-value Analysis Training 0.051 0.043 0.966 Not Significant Coaching -0.95 -0.554 0.582 Not Significant Tune up games 0.885 0.486 0.629 Not Significant Competition -0.282 -0.333 0.740 Not Significant Sex Training 0.344 0.581 0.564 Not Significant Coaching -1.596 -1.798 0.079 Not Significant Tune up games 2.554 2.837 0.007 Significant Competition -2.056 -4.910 0.000 Significant Gender Training 0.982 0.405 0.688 Not Significant Coaching -4.561 -1.253 0.217 Not Significant Tune up games 7.296 1.976 0.054 Not Significant Competition -5.873 -3.421 0.001 Significant Sports Events Training 0.482 0.235 0.815 Not Significant Coaching -5.167 -1.680 0.099 Significant Tune up games 5.531 1.774 0.083 Not Significant Competition -4.155 -2.866 0.006 Significant Adjusted R-Square: 0.7284 F-value: 33.854 Sig.: 0.0000 Table 9 shows the significant effect of the demographic profile of the student-athlete to the sports activity. Results from Table 9 revealed that the Sports Activity had no effect on demographic profile of the student-athlete. The beta coefficient indicates that for every standard deviation unit increase in Training, Coaching, tune up games and Competition, there is a corresponding unit increase in the demographic profile of the student-athlete. The t-value of Training, Coaching, tune up games and Competition is not significant having a p-value of greater than 0.05 level of significance. 2021 EPRA IJRD | Journal DOI: https://doi.org/10.36713/epra2016 | www.eprajournals.com |262 |
SJIF Impact Factor 2021: 8.013| ISI I.F.Value:1.241| Journal DOI: 10.36713/epra2016 ISSN: 2455-7838(Online) EPRA International Journal of Research and Development (IJRD) Volume: 6 | Issue: 7 | July 2021 - Peer Reviewed Journal This means that the demographic profile of the student-athlete to the sports activity was not influenced by age, gender, sex and sports events.Based on the data, it is shown that there is “no significant effect of the demographic profile of the student-athlete to the sports activity” at 0.05 level of significance. It shows that the null hypothesis stating that “There is no significant effect of the demographic profile of the student-athlete to the sports activity” is accepted, it can inferred that there is “no significant” effect between them. Table 10. Significant effect of the behavior of the student in the sports activity Physical Beta t-value p-value Analysis Training 0.133 0.189 0.851 Not Significant Coaching 2.522 2.386 0.021 Significant Tune up games -1.773 -1.654 0.105 Not Significant Competition 0.081 0.162 0.872 Not Significant Emotional Training 0.171 0.976 0.334 Not Significant Coaching 1.704 6.474 0.000 Significant Tune up games -0.728 -2.727 0.009 Significant Competition -0.159 -1.288 0.204 Not Significant Social Training -0.007 -0.007 0.995 Not Significant Coaching 2.627 1.775 0.083 Not Significant Tune up games -1.780 -1.186 0.242 Not Significant Competition -0.039 -0.056 0.956 Not Significant Psychological Training 0.427 6.273 0.000 Significant Coaching -1.280 -12.53 0.000 Significant Tune up games 1.703 16.448 0.000 Significant Competition 0.153 3.176 0.003 Significant Table 10 shows the significant effect of the behavior of the student in the sports activity. Results from Table 10 revealed that the Sports Activity had no effect on behavior of the student-athlete. The beta coefficient indicates that for every standard deviation unit increase in Training, Coaching, Tune up games and Competition, there is a corresponding unit increase in the behavior of the student-athlete. The t-value of Training, Coaching, Tune up games and Competition is not significant having a p-value of greater than 0.05 level of significance. This means that the behavior of the student-athlete to the sports activity was not influenced by physical activity, emotional activity, social behavior and psychological aspect 2021 EPRA IJRD | Journal DOI: https://doi.org/10.36713/epra2016 | www.eprajournals.com |263 |
SJIF Impact Factor 2021: 8.013| ISI I.F.Value:1.241| Journal DOI: 10.36713/epra2016 ISSN: 2455-7838(Online) EPRA International Journal of Research and Development (IJRD) Volume: 6 | Issue: 7 | July 2021 - Peer Reviewed Journal V. CONCLUSION Drawn the results of the study, the following results are set forth; 1. The null hypothesis stating that is no significant effect of the demographic profile of the student-athlete to the sports activity, is accepted, it can inferred that there is “no significant” effect between them. 2. The null hypothesis stating that the here is no significant effect of the behavior of the student-athlete to the sports activity” is accepted, it can inferred that there is “no significant” effect between them. RECOMMENDATION In the light of the findings and conclusion of the study, the following recommendations were drawn. 1. The student-athletes may advice to continue to enhance their ability to improved their performance to their respective chosen sports. 2. The Teacher-Coach may also maintain and improve their knowledge and abilities to continue to encourage the student-athletes to visualize the great opportunities in the near future the their respective sports. 3. The school administrator may implement the continuous communication and support to the student-athletes for them to be motivated and feel that they were being assisted even in the time of pandemic. 4. To the future researchers, a parallel study could be done in order to negate, confirm or improve the result of the present study. REFERENCES 1. Ali, H.Y.; Danish, R.Q.; Asrar-ul-Haq, M. How corporate social responsibility boosts firm financial performance: The mediating role of corporate image and customer satisfaction. Corp. Soc. Responsib. Environ. Manag. 2020, 27, 166– 177. 2. Alvarez-Garcia, D.; Carlos Nunez, J.; Garcia, T.; Barreiro-Collazo, A. Individual, Family, and Community Predictors of Cyber-Aggression among Adolescents. Eur. J. Psychol. Appl. Leg. Context 2018, 10, 79–88. 3. Aquilina D. A study of the relationship between elite athletes’ educational development and sporting performance. Int J Hist Sport. 2013; 30:374–92. 4. Astuti, Tri M. P., et al. "The Socialization Model of National Character Education for Students in Elementary School Through Comic." Komunitas: International Journal of Indonesian Society and Culture, vol. 6, no. 2, Sep. 2014, pp. 260-270, doi:10.15294/komunitas.v6i2.3305. 5. Aylie, N. S., Mekonen, M. A., & Mekuria, R. M. (2020).The Psychological Impacts of COVID-19 Pandemic Among University Students in Bench-Sheko Zone, South-west Ethiopia: A Community-based Cross-sectional Study Psychology Research and Behavior Management, Volume 13, 813–821. doi:10.2147/prbm.s275593 6. Babore, A.; Trumello, C.; Candelori, C.; Paciello, M.; Cerniglia, L. Depressive Symptoms, Self-Esteem and Perceived Parent-Child Relationship in Early Adolescence. Front. Psychol. 2016, 7, 982. 7. Bachmann C, Oesch P and Bachmann S (2018) Recommendations for improving adherence to home-based exercise: A systematic review. Physikalische Medizin, Rehabilitationsmedizin, Kurortmedizin 28(1): 20–31 8. Barbisch, D., Koenig, K. L., & Shih, F. Y. (2015). Is there a case for quarantine? Perspectives from SARS to Ebola. Disaster Medicine and Public Health Preparedness, 9(5), 547–553. https://doi.org/ 10.1017/dmp.2015.38 9. Besi, M.; Sakellariou, M. Teachers’ Views on the Participation of Parents in the Transition of their Children from Kindergarten to Primary School. Behav. Sci. 2019, 9, 124 10. Bento, G., & Dias, G. (2017). The importance of outdoor play for young children’s healthy development. Porto Biomedical Journal, 2(5), 157–160. doi:10.1016/j.pbj.2017.03.003 11. Breines, J. G., & Chen, S. (2012). Self-compassion increases self-improvement motivation. Personality and Social Psychology Bulletin, 38, 1133–1143. https://doi.org/10.1177/0146167212445599 12. Catane, J. (2000). Conducting Research: A Practical Application. JMC Press Inc., 388 Quezon Avenue, Quezon City 13. Castro-Sánchez, M.; Zurita-Ortega, F.; Chacón-Cuberos, R.; López-Gutiérrez, C.J.; Zafra-Santos, E. Emotional intelligence, motivational climate and levels of anxiety in athletes from different categories of sports: Analysis through structural equations. Int. J. Environ. Res. Public Health 2018, 15, 894. 14. Centers for Disease Control and Prevention, March 12, 2020. Available: https://www.cdc.gov/coronavirus/2019- nCoV/summary.html#anchor_1580079137454 15. Cerniglia, L., Zoratto, F., Cimino, S., Laviola, G., Ammaniti, M., & Adriani, W. (2017). Internet Addiction in adolescence: Neurobiological, psychosocial and clinical issues. Neuroscience & Biobehavioral Reviews, 76, 174–184. https://doi.org/10.1016/j. neubiorev.2016.12.024. 2021 EPRA IJRD | Journal DOI: https://doi.org/10.36713/epra2016 | www.eprajournals.com |264 |
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